3 citations · 9 across the 11 of their papers we have counts for
3 papers · 1 filter
Breaking the Likelihood-Quality Trade-off in Diffusion Models by Merging Pretrained Experts
Yasin Esfandiari, Stefan Bauer, Sebastian U. Stich +1
Diffusion models for image generation often exhibit a trade-off between perceptual sample quality and data likelihood: training objectives emphasizing high-noise denoising steps yi…
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Amir Mohammad Karimi Mamaghan, Samuele Papa, Karl Henrik Johansson +2
Object-centric (OC) representations, which model visual scenes as compositions of discrete objects, have the potential to be used in various downstream tasks to achieve systematic…
Semi-Supervised Variational Autoencoder for Survival Prediction
Sveinn Pálsson, Stefano Cerri, Andrea Dittadi +1
In this paper we propose a semi-supervised variational autoencoder for classification of overall survival groups from tumor segmentation masks. The model can use the output of any…